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Smyrooms, a brand of Grupo Viajes El Corte Inglés

<div>
 
 Smyrooms is part of Viajes El Corte Ingl&eacute;s Group, one of the biggest conglomerate of Spain offering hotels in over 120 countries for our clients.
 
 
 
 
 
 Our company was founded with the aim of supplying the many brands of the group as well as all of our customers with our travel inventory at competitive prices.
 
 
 
 
 
 We are one of the youngest brands in the group, and tha makes us dynamic, energetic and technologically savvy. We are not just a beddank.
 
 
 
 
 
 Data is part of our DNA, our phylosophy is data, driven solutions. Currently we are searching a
 
 Data Scientist
 
 , specialized in Travel Sector for our headoffices in Dubai (United Arab Emirates).
 
 
 
 
 
 Salary range for this role: AED 160,000 - 180,000 AED per annum.
 
 
 
 
 
 
 
 Job characteristics:
 
 
 
 
 
 
 <ul>
 <li>
 Support the Pricing and Distribution area to optimize the revenue and product segmentation, to stay as competitive (and reachable) as possible in a multi-connected environment.
 </li>
 <li>
 Responsible for analyzing commercial data to identify trends, patterns and opportunities for business growth.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business objectives, identify opportunities and implement solutions to optimize commercial operations.
 </li>
 <li>
 Strong communicator with strong analytical abilities, capable of translating complex data into actionable insights and effectively communicating high-level business updates as well as granular data analysis.
 </li>
 <li>
 Developing growth strategies and providing strategic insights to drive business success.
 </li>
 <li>
 Provide the Leadership team with recurring and ad-hoc data analysis and comprehensive reporting, as well as generate momentum, global ownership and overall support to speed up the team&rsquo;s action plan.
 </li>
 <li>
 Support and manage the enhancement of business processes and proactively identify opportunities to increase customer success.
 </li>
 <li>
 Provide support to key commercial functions through rigorous and deep analysis that facilitates understanding root causes &amp; actions to be taken. Identify best practices, share and reapply across the organization.
 </li>
 <li>
 Follow up on the opportunities and tasks generated by or towards the commercial teams.
 </li>
 <li>
 Develop presentations with conceptual and/or quantitative analysis that facilitate top management decision making.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Strong Analytical, numerical, communication and presentation skills to be able to interpret, summarize and present complex data sets from multiple sources in a simple and comprehensive way.
 </li>
 <li>
 Effectively manage communication at senior level.
 </li>
 <li>
 Be able to report KPIs and performance metrics in a structured manner as well as develop analytical models to facilitate decision making.
 </li>
 <li>
 Detail oriented and organized, with the ability to manage multiple projects simultaneously.
 </li>
 <li>
 Strong interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
 </li>
 <li>
 Experience working in a fast-paced dynamic environment with challenging deadlines and competing priorities.
 </li>
 <li>
 Methodical and organized mindset with the ability to think critically and develop innovative solutions to business challenges.
 </li>
 <li>
 Visual/Analytical aid tools (Tableau, Looker Studio, Excel and PowerPoint knowledge).
 </li>
 <li>
 Database management skills through the use of programming languages (SQL/Python).
 </li>
 <li>
 Proactive and autonomous approach to working with critical thinking, collaboration &amp; creativity.
 </li>
 <li>
 Languages: English (Spanish as a enabler).
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, economics, data analytics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are interested on this possition, do not hesitate to apply. You will feel at home.
 
 
</div>

Data Scientist

Naffco

<div><h4 class="jobSectionHeader">Job Summary</h4>
We are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.</li><li>
Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.</li><li>
Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.</li><li>
Ensure data integrity, consistency, and high performance across analytics solutions.</li><li>
Collaborate with business units to understand reporting needs and translate them into technical solutions.</li><li>
Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.</li><li>
Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.</li></ul><h4 class="jobSectionHeader">
Qualifications &amp; Experience:</h4><ul><li>
BTech / BSc in Computer Science, MCA, or equivalent technical qualification.</li><li>
2&ndash;5 years of proven experience in data analytics, modeling, and dashboard development.</li><li>
Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.</li><li>
Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.</li><li>
Ability to work independently as well as collaboratively in a dynamic, fast-paced environment.</li></ul></div>

SilentEight

<div>At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We&rsquo;re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 
 
 
As a Data Scientist, you will own the end-to-end development of data solutions &mdash; from understanding business problems to deploying and maintaining models in production. You&rsquo;ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.<h4 class="jobSectionHeader">
Responsibilities</h4><ul><li>
Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.</li><li>
Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.</li><li>
Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.</li><li>
Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.</li><li>
Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.</li><li>
Analyze large-scale structured and unstructured datasets to extract insights and power model development.</li><li>
Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.</li><li>
Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.</li><li>
Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.</li><li>
Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.</li></ul><h4 class="jobSectionHeader">
Requirements</h4><ul><li> 
Based in the United Arab Emirates (remote-first team; flexible working environment).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.</li><li>
Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.</li><li>
Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).</li><li>
Skilled in graph analysis, machine learning, and unstructured data workflows.</li><li>
Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.</li><li>
Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.</li><li>
Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).</li><li>
Strong communication skills&mdash;translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.</li><li>
Mindset of ownership: you&rsquo;re excited to see projects through, from first prototype to deployed, customer-facing solution.</li></ul><h4 class="jobSectionHeader">
We offer:</h4><ul><li>
Full time employment</li><li>
Employee benefits</li><li>
Work-life balance: flexible working hours, remote work forever</li><li>
Career growth: Promotion and great development opportunities within the organization</li></ul></div>

Capgemini Invent

<div>
 
 
 Capgemini Invent
 
 
 
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 
 Your Role
 
 
 
 As part of Capgemini Invent's Intelligent Industry team in the Middle East, you will work on high-impact transformation programs for leading industrial clients across manufacturing, energy, logistics, and process industries, across specific profiles.
 
 
 
 
 
 Your role will vary based on your experience level, but will generally include:
 
 <ul>
 <li>
 Leading or contributing to end-to-end consulting engagements - from diagnostic and strategy to implementation.
 </li>
 <li>
 Designing and delivering solutions in one or more of the following areas:
 </li>
 <li>
 Supply Chain: e.g., visibility, planning, optimization, S&amp;OP
 </li>
 <li>
 Smart Plant: e.g., Industry 4.0, IoT, MES, digital twins
 </li>
 <li>
 Insights for Intelligent Industry: e.g., AI/ML use cases, predictive models, operational intelligence
 </li>
 <li>
 Collaborating with multidisciplinary teams including data engineers, architects, and domain experts
 </li>
 <li>
 Managing client relationships, facilitating workshops, and presenting recommendations to C-level stakeholders
 </li>
 <li>
 Developing business cases, roadmaps, and implementation
 </li>
 <li>
 Executing workstreams, conduct analyses, and support delivery
 </li>
 </ul>
 
 This is an opportunity to work in one of the world's most dynamic regions, on projects that matter with clients who are serious about transformation.
 
 
 
 
 
 
 Your Skills and Experience
 
 
 - for each specific profile
 
 
 
 The skills, level of expertise, and years of experience required will vary depending on the seniority of the role you're applying for.
 
 
 
 
 
 
 Must-have:
 
 
 <ul>
 <li>
 2+ years of hands-on experience in data science, machine learning, or AI applications
 </li>
 <li>
 Strong programming skills in Python or R; proficiency with ML libraries (scikit-learn, pandas, numpy, TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Proven ability to build, train, validate, and deploy predictive or prescriptive models in production environments
 </li>
 <li>
 Experience working with industrial, operational, or time-series data (sensor data, process data, quality data, maintenance logs, etc.)
 </li>
 <li>
 Solid understanding of statistical methods, feature engineering, model evaluation, and optimization techniques
 </li>
 <li>
 Familiarity with data preprocessing, cleaning, and transformation pipelines
 </li>
 <li>
 Ability to communicate technical concepts and model outputs to business stakeholders
 </li>
 <li>
 Excellent communication skills in English (verbal and written), ability to present to senior stakeholders
 </li>
 </ul>
 
 
 Nice-to-have:
 
 
 <ul>
 <li>
 Hands-on experience with cloud platforms (Azure, AWS, GCP) and big data technologies (Spark, Databricks)
 </li>
 <li>
 Knowledge of deep learning, computer vision, or NLP applications in industrial settings
 </li>
 <li>
 Familiarity with industrial use cases: predictive maintenance, anomaly detection, quality prediction, process optimization, digital twins
 </li>
 <li>
 Familiarity with the Middle East or industrial markets (manufacturing, energy, FMCG, retail)
 </li>
 <li>
 Knowledge of Arabic
 </li>
 </ul>
 
 
 
 
 
 Why you should consider Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
 
 
 
 #MakeitReal
 
 www.capgemini.com/invent
 
 
 
</div>

First Abu Dhabi Bank (FAB)

<div>
 
 Company Description
 
 
 
 FAB, the UAE's largest bank and one of the world's most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth.
 
 
 We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.
 
 
 
 Job Description
 
 
 
 
 Core Responsibilities
 
 
 :
 
 
 
 <ul>
 <li>
 Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back
 </li>
 <li>
 Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
 </li>
 <li>
 Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.
 </li>
 <li>
 Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
 </li>
 <li>
 Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
 
 
 </li>
 </ul>
 Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
 
 
 
 Qualifications
 
 
 
 
 Minimum Qualification:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
 </li>
 <li>
 Additional degree or certifications in the field related to the data science/Analytics is preferred.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience
 </li>
 <li>
 Experience and an understanding of a wide variety of analytical processes.
 
 
 </li>
 </ul>
 Excellent written and verbal communication skills.
 
 
 Additional Information
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 SAS (Base SAS,EMiner ,EG)
 </li>
 <li>
 Python
 </li>
 <li>
 Databricks and Dataiku platform knowledge is a plus
 </li>
 <li>
 Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)
 </li>
 <li>
 Data Visualization (Power BI)
 </li>
 <li>
 Deep learning frameworks (Tensorflow/pytorch/Maxnet)
 </li>
 </ul>
</div>

Specialist- Data Scientist

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, ML

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, GenAI

Explore 616+ Data scientist in House Counsel Jobs In Dubai this February. Find roles across top companies and apply now to boost your career.

616 data scientist jobs In House Counsel Jobs In Dubai

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Specialist- Data Scientist

Staff Data Scientist, Algorithms, ML

Staff Data Scientist, Algorithms, GenAI